Article

Deep learning-driven morphology analysis enables label-free classification of therapeutic agentnaive versus resistant cancer cells

2025-01-25

Abstract excerpt

Therapeutic drug treatments of solid tumors are often undermined by various resistance mechanisms. Identification of drug-resistance phenotypes at the single cell level is challenging because conventional molecular methods are cell-destructive, labor-intensive, and cost-prohibitive. To overcome these challenges, we developed an orthogonal approach to drug-resistance phenotyping, through the use of deep-learning-dr...

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Literature Corpus work: 7fb47918-e180-5c1a-a0b4-f79d0b065a28
DOI: 10.1101/2025.01.22.634357

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